AI, in plain language.
Clear, jargon-free definitions of the AI and automation terms that come up when you build with us, each one tied to how we put it to work in production.
Agentic AI
Agentic AI describes AI systems that don’t just answer, they take actions: planning multi-step tasks, calling tools and APIs, and working toward a goal with limited human input.
ReadAI Agent
An AI agent is a software system that uses a language model to understand a task, take actions across your tools, and complete work autonomously, escalating to a human only when needed.
ReadAI Readiness
AI readiness is how prepared an organisation’s data, systems and processes are to deploy AI that actually works in production, not just in a demo.
ReadEmbeddings
Embeddings turn text (or images, audio) into lists of numbers that capture meaning, so a computer can measure how similar two pieces of content are.
ReadFine-tuning
Fine-tuning further trains a pre-trained language model on your own examples so it adapts to a specific tone, format or task.
ReadHallucination
A hallucination is when an AI model produces a confident answer that is factually wrong or made up.
ReadLarge Language Model (LLM)
A large language model (LLM) is an AI trained on vast amounts of text to understand and generate human language, the engine behind tools like ChatGPT and Claude.
ReadModel Context Protocol (MCP)
The Model Context Protocol (MCP) is an open standard for connecting AI models to external tools, data sources and systems in a consistent way.
ReadPrompt Engineering
Prompt engineering is the practice of structuring the instructions and context you give a language model so it produces reliable, useful output.
ReadRetrieval-Augmented Generation (RAG)
RAG is a technique where an AI retrieves relevant information from your own documents and feeds it to the language model, so answers are grounded in your data instead of the model’s general training.
ReadVector Database
A vector database stores embeddings and finds the most similar ones fast, the retrieval engine behind semantic search and RAG.
ReadWorkflow Automation
Workflow automation uses software to run multi-step business processes, moving data between tools and triggering actions, with little or no manual work.
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